Evidence map›Paper›PMID 19343671›Full record

ReviewJournal of biophotonics2008

Non-invasive multiphoton imaging of extracellular matrix structures.

Katja Schenke-Layland

Abstract readReview
In one paragraph

Review in Journal of biophotonics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
8.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 110 citations in OpenAlex.

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  11. Nanomotors Sense Local Physicochemical Heterogeneities in Tumor Microenvironments*.Angewandte Chemie (International ed. in English) · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Katja Schenke-LaylandCardiovascular Research Laboratory, David Geffen School of Medicine, University of California, Los Angeles, UCLA, 675 Charles E. Young Drive South, MRL 3-579, Los Angeles, CA 90095, USA. kschenkelayland@mednet.ucla.edu
University of California, Los Angeles · US

Funding

CARDIOVASCULAR SCIENTIST TRAINING PROGRAMT32HL007895 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHIVKUMAR, KALYANAM, WATSON, KAROL E · 1998 to 2023
$9.2M
NHLBI NIH HHS 5T32HL007895-10NHLBI NIH HHS T32 HL007895PHS HHS CJX1-443835-WS-29646
6 · The paper itself

Abstract

Multiphoton microscopy has become a powerful method for the artifact-free, nondestructive evaluation of deep-tissue cells and extracellular matrix (ECM) structures in their native environment. By interacting with highly non-centrosymmetric molecular assemblies such as fibrillar collagen, the non-linear process called second harmonic generation (SHG) has also proven to be an important diagnostic tool for the visualization of ECM compartments in situ with submicron resolution without the need for tissue processing. This review reports on applications of multiphoton-induced autofluorescence and SHG microscopy to identify collagen and elastic fiber orientation in native, tissue-engineered and processed, as well as healthy and diseased, tissues and organs. SHG signal profiling was used to quantify ECM damage in various cardiovascular and exocrine tissues, as well as cartilage. These novel imaging modalities open the general possibility of high-resolution in situ and more important in vivo imaging of ECM structures, cells and intracellular organelles in living intact tissues.

Indexed as

AnimalsBioprosthesisCartilageEmbryonic Stem CellsExocrine GlandsExtracellular MatrixExtracellular Matrix ProteinsHeart Valve ProsthesisHeart ValvesHumansMicroscopy, Fluorescence, MultiphotonTissue EngineeringTissue ScaffoldsExtracellular Matrix Proteins

Identifiers

PMID19343671
PMCPMC4350994
OpenAlexW2062044315

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.